Infrastructure Engineer in United States

Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational ef

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Our Tensix team is building custom AI compute cores, RISC-V CPUs, and chiplet-based architectures for datacenter, edge, and automotive AI. Design Verification Engineers on this team validate compute IP and subsystems and build scalable DV infrastructure to keep verification fast, automated, and production-grade. This role is hybrid, based out of Toronto, ON, Austin, TX or Belgrade, Serbia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Experienced in modern verification methodologies with strong SystemVerilog skills and exposure to structured testbench development. Comfortable working from block-level to system-level verification and reasoning about microarchitecture behavior from specs and waveforms. Proficient in Linux environments with Python, or Bash scripting for automate builds, parse logs, manage CI pipelines. Skilled in coverage-driven verification and confident debugging across RTL, testbench, and workload scenarios. Motivated by AI hardware and eager to learn verification strategies for new architectures and domains. What We Need Contribute to verification of Tensix IP and subsystems from early planning through tape-out, owning cov

Flight Simulation Software Engineers (Associate, Experienced, and Senior) Company: The Boeing Company The Boeing Company is currently seeking Flight Simulation Software Engineers (Associate, Experienced, and Senior) to join the Flight Simulation Labs team located in Berkeley, MO . This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. **Our teams are currently hiring for a broad range of experience levels including; Associate, Experienced, and Senior Level Software Engineers. Our Air Dominance software engineers design, develop, and demonstrate avionics solutions for the platforms we build and upgrade. Your efforts will assist in integration of innovative technologies to maintain our platform’s dominance over the battlefield for many decades to come. Additionally, our software engineers support the Flight Simulation products associated with our platforms. The roles will involve software development for tools that support simulation infrastructure across Flight Simulation Labs. Selected candidates will be aligned to a statement of work that best suits their interests and skillset, some of which could include: Creating core simulation infrastructure to serve as a jumping-off point for programs developing flight simulation capabilities Developing tools to simulate, monitor, and capture messages between subsystems in a lab environment Modeling various aircraft capabilities, including the ability to run constructive scenarios in a testing environment Position Responsibilities: Develops, documents and maintains architecture, requirements, algorithms, interfaces and designs for softwa

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, Platform Engineering Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Role Summary Director, Platform Engineering At Mastercard, the pace of change across technology, AI, and the nature of work requires that we constantly push the boundaries for the technologies in building and operating infrastructure and applications globally. The Director, Platform Engineering is a critical technology and engineering leadership role within Operations Automation Program accountable for advancing our infrastructure and platform automation strategy through innovation and effective problem-solving. This role focuses on analyzing, coding, and delivering software an

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior AI Platform Engineer (DevOps) Who is Mastercard? Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payment choices, making transactions secure, simple, smart, and accessible. Our technology and innovation, partnerships, and networks combined to deliver a unique set of products and services that help people, businesses, and governments realize their greatest potential. Our decency quotient (DQ) drives our culture and everything we do inside and outside our company. We cultivate an environment where individuals can thrive, collaborate, and contribute to innovations that power the global economy. Overview: The AI Platform Engineering team is responsible for building, operating, and evolving Mastercard's enterprise AI platforms and capabilities. Our mission is to provide scalable, secure, and reliable AI infrastructure that enables teams across Mastercard to accelerate the development and deployment of AI-powered solutions. As a Senior AI Engineer, you will help design, implement, and operate the foundational platforms that support AI and machine learning workloads across the enterprise. You will work at the intersect

Position summary: The Senior Security Engineer position will be part of the Enterprise Security organization consisting of IAM professionals across several technologies. This specific position will have a specialized role in directory services and SaaS applications! It will focus on large implementations of Entra ID with integrations with other directories, IDPs, applications, and automated workflows. We give technical direction, administer tools, and provide support for various security technologies. We participate in driving Enterprise Security projects that use our cloud directory services for various internal and external Adobe services. We work with other specialists, architects, security teams, and software engineer teams across Adobe and collectively provide services, guidance, and strategies that protect services and data as well as adhere to various global government regulations. You will work with business customers, management teams, infrastructure teams, development teams, project managers, and other security teams to help implement the vision, structure, standards, and plan solutions that support the future architecture. At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists! You will also be surrounded by colleagues who are committed to helping each other grow through our Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe is the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status. Primary Responsibilities May Include, but Are Not Limited To: Managing deep an

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. We are looking for a motivated Performance engineer to influence the roadmap of our communication libraries. The DL and HPC applications of today have a huge compute demand and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! This is an outstanding opportunity for someone with HPC and performance background to advance the state of the art in this space. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters. Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available Triage and root-cause performance issues reported by our customers Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information <li

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Assigned Support Engineer, you’ll be a trusted technical advisor to GitLab’s largest Self-managed, GitLab Dedicated, and GitLab.com customers, helping them avoid operational disruption and get the most from GitLab. You’ll combine deep Linux systems expertise, GitLab and CI/CD knowledge, and a proactive support mindset to understand each customer’s environment, anticipate and prevent issues, and solve complex technical and business challenges. In a typical week, you might be prioritizing strategic blockers with customer stakeholders, partnering with Product, Development, Infrastructure, Customer Succ

We are looking for a Senior Forward Deployed Engineer to join the Customer Solutions team. You will be the technical authority embedded with our most complex customers, guiding them through deployment, architecture, onboarding, and the adoption of agentic development workflows. You bring deep hands-on experience from prior roles and use that depth to advise, design repeatable patterns, and drive customer outcomes end to end. You operate autonomously, own the technical success of your customers, and bring their experience back to shape how Coder builds and delivers. This is not an execution-only role. You are equally comfortable doing deep technical work with a customer and stepping back to design the repeatable pattern behind it. You are energized by ambiguity, motivated by customer outcomes, and capable of influencing organizational change alongside the technical work. This position is required to sit in the Eastern Time Zone. What You'll Do Serve as the primary technical authority for post-sales customers, guiding deployment architecture, environment design, and adoption of Coder across both human and AI development workflows Own onboarding engagements end to end, ensuring customers move from contract to productive adoption with speed and confidence Lead Get Well engagements where architecture decisions, rollout patterns, or organizational dynamics are limiting customer health or growth Help customers implement the technical and organizational changes required to adopt agentic development practices at scale Design and document repeatable delivery patterns across onboarding, architecture, and adoption that can scale across customer segments Design and recommend reference architectures tailored to each customer's cloud environment, security posture, and organizational constraints Translate customer environment complexity into clear guidance on networking, ingress, identity, and infrastructure patterns Anticipate technical and operational risks, escalate to the right

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta's Corporate Engineering team is the infrastructure layer that keeps 1,500+ people connected, secure, and moving fast. AI is now central to how that happens, and this role leads the team that owns the backbone underneath it. Corporate Engineering owns the shared AI platform for Vanta's internal systems: identity and access for AI tools, cost visibility and controls, sanctioned tooling and guardrails, and the enablement that helps people use those tools well. We do not own product AI, which stays with Engineering, and we do not replace the AI work happening inside individual departments. We build the engineering layer that makes all of it safer, cheaper, and better supported. The company has moved fast. AI assistant use is widespread across every function, MCP infrastructure is live and self-serve company-wide, internal apps ship on a hosted platform, and AI spend has grown to the point where attribution and guardrails genuinely matter. What does not exist yet is a single owner for that platform layer. That is this role. As Sr. Manager, AI Engineering, you will lead a small, senior team, write the charter for what Corporate Engineering owns versus enables, and build the platform that lets the rest of Vanta adopt AI quickly without accumulating cost, risk, or duplication. What you’ll do as a Senior Manager, AI Corporate Engineering at Vanta: Lead, coach, and grow a senior team spanning platform engineering and technical program management. Set clear direction, hold a high bar, and give the team explicit permission to push back with data. Own the AI access layer end to end: identity and authentication for AI tools, connector

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. We are the Data Foundation & AI team within Plaid’s Data organization. Our mission is to build the shared ML and AI infrastructure that powers intelligent capabilities across Plaid’s product suite. We develop the foundational systems, models, and data assets that transform Plaid’s unique financial network data into scalable, general-purpose representations that teams across the company can leverage. Our work spans the full ML lifecycle — from large-scale data curation and model pretraining to production serving, evaluation, and monitoring. As part of the team, you’ll work at the intersection of machine learning infrastructure, applied AI, and distributed systems, helping establish the core AI platform that enables innovation across Plaid. As a Staff Machine Learning Engineer, you will lead the technical strategy and development of Plaid’s foundation models, driving key decisions across pretraining objectives, model architecture, and fine-tuning approaches that power a wide range of downstream product applications. You will serve as the technical lead for the full machine learning lifecycle, overseeing everything from data curation and experimentation to production deployment, feature management,

Manager I, Engineering - Change Experience Platform The Change Experience Platform team builds the internal experiences and platform capabilities that help Datadogs understand, author, route, and safely manage infrastructure changes. The team owns internal UI and CLI frameworks, change-management user experiences, notification and subscription platforms, and infrastructure governance signals used across Datadog’s engineering organization. Its work sits at the intersection of developer experience, infrastructure operations, product design, and change safety. We’re looking for a hands-on technical leader to manage and grow a team of engineers working on the systems that shape how Datadog engineers interact with infrastructure change. You will partner closely with infrastructure, developer experience, platform engineering, and product teams to build reusable interfaces, workflows, and safety mechanisms that make complex change processes easier to understand and safer to execute. This is a high-impact role for someone who enjoys combining product thinking with strong engineering judgment. You will help the team balance framework ownership, platform reliability, internal customer needs, and long-term technical direction across a portfolio that includes UI systems, CLI authoring and publishing, change-management workflows, notification routing, subscriptions, and infrastructure cordon management. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Lead and grow a small team of engineers responsible for internal platforms and product experiences used across Datadog engineering. Help define what “good” looks like for internal developer-facing platforms, including usability, reliability, documentation, adoption, and supportability. Se

The Datadog for Startups (DDFS) program helps the next generation of fast-scaling companies adopt best-in-class observability and security from day one. We're looking for the technical engine of this program - someone who can sit across from a startup CTO, earn credibility in the first five minutes, and help them see how Datadog fits into their stack before they've even finished describing it. You'll be the first technical member on a lean, five-person team, owning the technical motion end-to-end: discovery calls, demos, startup enablement, forward-deployed engineering projects, and representing Datadog at founder events across San Francisco. This isn't a traditional SE seat - it's part solutions architect, part technical consultant, part startup evangelist, and it requires someone adaptable, proactive, and ready to take initiative without being told what to do next. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Run discovery calls with startup CTOs and engineering leads to identify quick wins, validate technical needs, and position Datadog against alternatives like Grafana, New Relic, Sentry, and Clickhouse Deliver tailored Datadog demos and help startups get instrumented quickly - removing friction, showcasing value, and ensuring smooth technical onboarding, particularly around AI/ML observability, infrastructure scaling, and security Build automation to improve internal team workflows - EX: outreach, reporting, the application process, and website updates Represent Datadog for Startups at accelerator demo days, hackathons, conferences, founder dinners, and workshops across San Francisco Build relationships across SF's startup ecosystem - founders, VCs, accelerator partners, and technical communities - and develop thought leadership content for tech

Datadog's Forward Deployed Engineering function is in an active growth phase, and the FDE Lead will play a central role in shaping what comes next. Working in close partnership with the Head of Datadog for Startups and Forward Deployed Engineers, and the existing FDE team, you will help define and expand the FDE framework, build out the structures and processes that allow the team to operate at scale, and extend the program's reach well beyond any single customer segment. This role sits at the rare intersection of sales, execution, program design, and hands-on engineering leadership. You are part field technical leader, part program architect, and part cross-functional connector. You will help determine what the FDE motion looks like at Datadog, contribute to its playbook, and push the boundaries of what the team can deliver. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Evolve and scale the FDE operating model end to end: engagement intake, scoping, sprint delivery, handoff back to account teams, and the success metrics (time-to-value, adoption lift, ARR influence, NPS) and reporting infrastructure that support them. Build out a catalog of FDE offerings spanning observability quickstarts, custom integration development, LLM/AI observability accelerators, CI/CD pipeline instrumentation, and cost optimization deep dives, and contribute to their pricing and business models, including free-to-paid conversion plays, paid deployment packages, and post-deployment success motions. Capture product and feature gaps uncovered during deployments, translate them into structured prioritized briefs, and partner with PM and Engineering to strengthen the field-feedback channel that informs roadmap decisions on a regular cadence. Hire, onboard, an

The Detection Platform organization is responsible for helping customers identify, understand, and act on issues across their environments through alerting, event intelligence, and autonomous detection capabilities. As Director, Detection Platform, you will lead a group of engineering managers and teams responsible for foundational alerting infrastructure, event management, monitor creation experiences, and AI-powered detection systems. This role sits at the center of Datadog’s efforts to evolve how customers detect, investigate, and respond to operational issues at massive scale. You will partner closely with Product Management, Applied Science, Design, and Engineering leaders to shape the future of detection and observability experiences for Datadog customers while leading a growing organization of engineers. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead a multi-team engineering organization responsible for alerting, event management, monitor creation experiences, and autonomous detection capabilities. Define and execute the technical and organizational strategy for the Detection Platform while aligning stakeholders across Engineering, Product, Design, and Applied Science. Drive innovation in AI-powered detection, anomaly identification, and signal generation that helps customers proactively identify and resolve issues. Scale highly available platform systems that process hundreds of millions of evaluations while maintaining reliability, performance, and operational excellence. Develop and mentor engineering managers and technical leaders, fostering a culture of execution, collaboration, and technical rigor. Champion customer-centric product thinking by balancing platform investments with intuitive user experiences and measurable customer